| Issue |
EPJ Web Conf.
Volume 362, 2026
31st International Laser Radar Conference (ILRC 31) Held Together with the 22nd Coherent Laser Radar Conference (CLRC 22)
|
|
|---|---|---|
| Article Number | 07005 | |
| Number of page(s) | 3 | |
| Section | Joint CLRC/ILRC Session: Airborne and Spaceborne Wind Lidar Missions | |
| DOI | https://doi.org/10.1051/epjconf/202636207005 | |
| Published online | 09 April 2026 | |
https://doi.org/10.1051/epjconf/202636207005
Scene classification for Aeolus wind processing based on the EarthCARE feature mask
Royal Netherlands Meteorological Institute (KNMI) Utrechtseweg 297, 3731 GA De Bilt, The Netherlands This email address is being protected from spambots. You need JavaScript enabled to view it.
Published online: 9 April 2026
Abstract
Aeolus, ESA's wind mission, has provided almost five years' worth of global wind observations. The horizontal line-of-sight wind measurements from the world's first space-based Doppler wind lidar have provided positive impact by near-real-time assimilation in numerical weather prediction. To increase Aeolus's impact further, remaining errors should be identified.
Currently, measurements are grouped by a scene classification algorithm to use the best wind retrieval algorithm. It is expected that misclassification may negatively influence measurement error and bias. Recently, a feature mask algorithm developed for EarthCARE has been added to the Aeolus data processing chain to improve scene classification and as a pre-launch EarthCARE algorithm test.
In this work the current Aeolus clear/cloudy scene classification is compared to the new feature mask. The aim is to improve the classification and grouping of the Aeolus measurements to improve the retrieved winds, and to further test the feature mask algorithm for EarthCARE.
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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